International Journal of Infectious Diseases · 2012 · 22 citations · 12 references
Life SciencesInfectious DiseasesMicrobiologyAntimicrobial ResistanceAntimicrobial Resistance EpidemiologyMedical MicrobiologyAntibiotic ResistanceMultidrug ResistanceResistance EpidemiologyBinomial RegressionEscherichia ColiHospital Antimicrobial UtilizationHospital Resource UseHospital-associated ResistanceNegative Binomial DistributionNegative Binomial ModelsNegative Binomial Regression
BACKGROUND: The relationship between the hospital use of various classes of antibiotics and resistance of Escherichia coli to quinolones remains debated. Our aim was to study the relationship between the hospital use of 16 classes of antibacterial agents and the incidence of quinolone-resistant E. coli isolates. METHODS: Antibiotic use and resistance data were collected from 36 hospitals. Incident rate ratios (IRR) were assessed using negative binomial regression. RESULTS: The incidence of quinolone-resistant isolates was independently associated with the consumption of tetracyclines (IRR 1.139, 95% CI 1.030-1.259), first- and second-generation cephalosporins (IRR 1.007, 95% CI 1.002-1.013), third-generation cephalosporins (IRR 1.029, 95% CI 1.010-1.048), and quinolones (IRR 1.007, 95% CI 1.000-1.014). These associations were independent from the type of patient served. CONCLUSIONS: The level of hospital use of quinolones influences the incidence of quinolone resistance in E. coli hospital isolates. The consumption of two other classes of antibiotics, cephalosporins and tetracyclines, is also associated with quinolone resistance.
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Po‐Ren Hsueh, Wen-Hwei Chen, Kwen‐Tay Luh · International Journal of Antimicrobial Agents · 2005 · 269 citations · Full text
Bat Sheva Gottesman, Yehuda Carmeli, Pnina Shitrit et al. · Clinical Infectious Diseases · 2009 · 133 citations · Full text
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